Table of Contents¶

  1. Applicant characteristics
  2. Mortgage outcomes
  3. What factors impact loan denials?
  4. Geographic Disparities?

Sampled rows from dataset¶

loan_outcome race sex co_applicant age income loan_amount metro_name white_population_pct property_value_ratio debt_to_income_ratio combined_loan_to_value_ratio
1938926 Loan originated (approved) White Female No co-applicant 45 through 54 35.0 125000 Lakeland-Winter Haven, FL 51.751907 0.895 Healthy (<36%) 95.000
1654081 Loan originated (approved) White Male Co-applicant 65 through 74 80.0 285000 Tacoma-Lakewood, WA 92.754146 1.534 Manageable (36-42%) 61.197
3150349 Loan denied Black Male No co-applicant 45 through 54 92.0 245000 Atlanta-Sandy Springs-Alpharetta, GA 32.345416 1.004 Manageable (36-42%) 95.000

Applicant Characteristics¶
















































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Mortgage outcomes¶






















































What factors impact loan denials?¶





















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Are disparities focused in any geographic areas?¶






















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